A novel method of looking for the parity violation signal

transcript

N. N. Ajitanand (SUNYSB Nuclear Chemistry)

for the PHENIX Collaboration

Joint CATHIE/TECHQM Workshop

Dec 14-18 2009

L or B

Local Parity Violation at RHIC

QM09 Talk by D. Kharzeev : TIP – Topology Induced Parity violation.

TIP Magnetic field Charge separation along the orbital momentum. Asymmetries ~10-2, within reach of the experiment.

N. N. Ajitanand Cathie/Techqm 2009

3N. N. Ajitanand Cathie/Techqm 2009

Azimuthal distribution w.r.t the reaction plane N(φ ) = N0 (1+2v2cos(2φ)+2v4cos(4φ)+ 2a1sin(φ))

For parity violation |a1|>0 and has opposite sign for positive and negative charges in an event

The observable used in the standard method of analysis

cos(φA+φB-2 ΨRP ) is proportional to a1*a1 and so is is P-even .

It might have contributions from physical effects not related to the strong parity violation.

Desirable to have a method which deals with an observable which is a direct measure of a1

Presented here for the first time a method involving a novel correlation Cp

constructed as follows :

Define S = sin(φlab -ΨRP)

φlab = azimuthal angle ΨRP = reconstructed reaction plane

Consider an event of multiplicity M having p positively charged hadrons and n negatively charged hadrons i.e. M = p + n

Define

= average of S over the p positively charged hadrons in the event

= average of S over the n negatively charged hadrons in the event

= average of S over p randomly chosen hadrons (irrespective of charge) in the same event

= average of S over the remaining n hadrons in same event

Note: Unmixed set : p positives n negatives Mixed set : p randomly picked n remaining

The new correlation Cp is defined as

where and are distributions over events

Note : 1)Random choice of particles removes charge correlations in the denominator of Cp

2) Cp is constructed entirely from a real event; hence it is pure in event class (centrality, vertex etc)

h hp nN S S h h

p nN S S

, h hp n

p p nh hp n

N S SC S S S S

The response of the new correlation to a parity violating signal is tested by means of a simulation done as follows :

a) Reaction plane is chosen

b)Particles are emitted with azimuthal distribution w.r.t. RP N(φ) = 1+2v2cos(2φ)+2v4cos(4φ)+ 2a1sin(φ)

c) Neutral decay particles (e.g. Λ ,Ks0 ) are emitted with respect to RP.

All required data are taken from experiment.

d) Decay kinematics followed to get daughter particle directions and momenta

e) Jet particles emitted to correspond to measured jet correlations

f) Particles are passed through an acceptance filter made up from the measured singles distributions for positive and negative particles

g) A reconstructed Reaction Plane is associated with the event taking dispersion from experiment.

The simulation is tuned to reproduce experimental

a) multiplicity distributions

b)Positive-negative azimuthal pair correlations to constrain decaycontribution

c)Azimuthal distribution with respect to reconstructed Reaction Plane

The correlation Cp is calculated for both experiment and simulation and compared for different values of the parity violating signal.

Simulation results for the form of Cp for different cases :

Flow : YesParity Violating signal : none Decay : None

Flat response to flow

Jet : yesParity Violating signal : none Decay : None

Flat response to jets

Flow : YesParity Violating signal : noneDecay : Yes

Convex response to decay

Cp Flow : YesParity Violating signal: YesDecay : No

Concave response to parity violation

Simulation results for the form of Cp for different cases :

Multiplicity Dependence of Cp for fixed a1

<mult>=4a1=0.05

<mult>=9a1=0.05

Cp strength depends on multiplicity

Now we will see comparisons of Cp from data and sims for two centralities 20-30% and 0-5% for 0.4<pT<0.7

In each case the sims reproduce observed azimuthal distribution, multiplicity distribution, azimuthal distribuitions w.r.t Reaction Plane and positive-negative pair correlations.

13Data Cp is concave i.e. |a1|>0

14a1=0.04 sim gives convex shape

15a1=0.055 sim gives concave shape close to

16a1=0.055 sim gives concave but misses data

17Data Cp is concave i.e. |a1|>0

18a1=0.02 sim gives convex shape

19a1=0.033 sim gives concave shape close to data

20a1=0.04 sim gives concave but misses data

Conclusions

A new method has been formulated which measures directly the local parity violating signal “a1”

This involves the formulation of a novel correlation function Cp whose shape is concave only when there is a non-zero parity violating signal The strength of Cp is related to the parity violating signal ‘a1’.

The observed concave shape for Cp in the data means |a1| > 0

By making a fit to the observed Cp it is possible to constrain the allowed values of a1

The larger the detected multiplicity, the larger the sensitivity of Cp to value of a1i.e. large acceptance is an advantage

A novel method of looking for the parity violation signal

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